Google DeepMind, a group of approximately 140 people aiming to "solve intelligence" in London, is arguably one of the most interesting technology companies operating in the UK right now.

However, who actually works at Google DeepMind beyond the three cofounders is a bit of a mystery, possibly because Google doesn't want to risk shouting about them and losing its smartest staff to rivals that are also focusing on artificial intelligence, such as Facebook.

DeepMind, founded in 2011, is heavily involved in a lot of research and a number of its academically-focused staff have been busy publishing papers on artificial intelligence since the company was incorporated. A page on the DeepMind website details all of these academics papers and which DeepMind employees contributed to them.

In order to identify the most impressive DeepMind scientists, Business Insider analysed the page to see which DeepMind staff have contributed to the most scientific papers. Google was unable to confirm whether the other authors worked for DeepMind so we have linked to a source where possible. We also contacted several of the academics directly but did not hear anything back.

12. Mustafa Suleyman (cofounder)

Interesting fact: Mustafa Suleyman dropped out of Oxford University at the age of 19 to set up a counselling service known as the Muslim Youth Helpline. He also worked as a policy officer for the former Mayor of London, Ken Livingstone.

7. Demis Hassabis (cofounder)

Interesting fact: Demis Hassabis is a child prodigy in chess, reaching master standard at the age of 13 with an Elo rating of 2300 (at the time the second highest rated player in the world Under-14 after Judit Polgár who had a rating of 2335, and is 4 days older than Hassabis). He's also highly skilled in many other games, including poker.

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6. Marc Bellemare

Interesting fact: On his website, Marc Bellemare writes that he focuses on "reinforcement learning" and in particular "representation learning, value function approximation, model learning, exploration, and all those other concepts that we feel are necessary to the development of generally competent agents."

4. Joel Veness

Interesting fact: Joel Veness writes on his website that he is "interested in the algorithmic and computational aspects of Artificial Intelligence, with a particular emphasis on scalable and efficient approaches for online Reinforcement Learning agents."

2. Koray Kavukcuoglu

Interesting fact: Koray Kavukcuoglu interned for Google in New York in the summer of 2010 for three months. He also holds a PhD from New York University where he worked on "unsupervised learning of feature extractors and multi-stage architectures for object recognition."